Free Information Flow Benefits Truth Seeking

Free Information Flow Benefits Truth Seeking
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DOI:
10.1007/s11424-017-7078-4
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发表时间:
2017-02
影响因子:
2.1
通讯作者:
Wei Su;Yongguang Yu
Wei Su;Yongguang Yu
中科院分区:
数学3区
文献类型:
--
作者:
Wei Su;Yongguang Yu

文献摘要

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在一个社会里,我们如何才能接近真相?这可能取决于各种因素。在这篇文章中,作者使用一个成熟的求真模型,证明了持续的自由信息流将把我们带向真理。在这里,自由信息流被建模为可能改变人的认知的环境随机噪声。在没有随机噪声的情况下,该模型预测只有对真理及其信仰者具有主动感知能力的求真者才能捕捉到真理,而其他个体则可能坚持错误。但在随机噪声的影响下,作者严格证明了,即使群体中只有一个求真者,所有的个体最终都会接近真理。
How can we approach the truth in a society? It may depend on various factors. In this paper, using a well-established truth seeking model, the authors show that the persistent free information flow will bring us to the truth. Here the free information flow is modeled as the environmental random noise that could alter one’s cognition. Without the random noise, the model predicts that the truth can only be captured by the truth seekers who own actively perceptive ability of the truth and their believers, while the other individuals may stick to falsehood. But under the influence of the random noise, the authors strictly prove that even there is only one truth seeker in the group, all individuals will finally approach the truth.